— create_studies_map • worlddatr

Create a cloropleth map of the number of trials in a dataset

Usage

create_studies_map(
  data,
  country_col,
  include_ATA = FALSE,
  include_n = TRUE,
  title = "",
  subtitle = "",
  legend = "Number of Studies",
  colour_high = "#14B1E7",
  colour_low = "#CCECF9",
  colour_default = "#FDF3F4",
  colour_borders = "black",
  colour_background = "#FFFFFF",
  colour_text = "black",
  scale_breaks = pretty_breaks(),
  log_scale = FALSE
)

Arguments

data: Data frame with includes a column with 3 letter ISO country codes which are to plotted on the map.
country_col: Character. The name of the column containing the 3 letter ISO country codes.
include_ATA: Boolean. Should Antarctica be included on the map? Default is FALSE.
include_n: Boolean. Should n = X where X is the number of participants, be included in the map. Default is TRUE.
title: Character. Title of the choropleth map. Default in blank.
subtitle: Character. Subtitle of the choropleth map. Default in blank.
legend: Character. Legend title of the choropleth map. Default is 'Nuber of Studies'
colour_high: Colour of the high end of the scale, either using the name of a base colour or the HEX code, i.e. "red" or "#F9250C. This will be the colour of the country with the highest value. Default is IDDO-branded blue "#14B1E7".
colour_low: Colour of the low end of the scale, either using the name of a base colour or the HEX code, i.e. "red" or "#F9250C. This will be the colour of the country with the lowest value. Default is IDDO branded blue at 30% tint, "#CCECF9".
colour_default: Colour of the other countries without trial data, either using the name of a base colour or the HEX code, i.e. "red" or "#F9250C. Default is IDDO branded red at 5% tint, "#FDF3F4".
colour_borders: Colour of the country borders, either using the name of a base colour or the HEX code, i.e. "red" or "#F9250C. Default is "black".
colour_background: Colour of the plot background, either using the name of a base colour or the HEX code, i.e. "red" or "#F9250C". Default is "#FFFFFF" (white).
colour_text: Colour of the legend title, text and 'n = ' (if include_n == TRUE), either using the name of a base colour or the HEX code, i.e. "red" or "#F9250C". Default is black.
scale_breaks: Numeric list. Specify custom scale breaks for the legend, i.e. c(100, 500, 1000, 2000). Default is pretty_breaks from the scales package.
log_scale: Boolean. Should the number of trials be transformed into the log scale for when the distribution of values is very uneven. Default is FALSE.

Value

A cloropleth map displaying the number of studies in each country

Details

This function is superseded, create_map replaces this function and is the recommended alternative.

Author

Rhys Peploe

Examples

library(worlddatr)
set.seed(123) # for reproducibility

countries <- sample(world_income$alpha_3_code, 100, replace = FALSE)

probabilities <- runif(length(countries))
probabilities <- probabilities / sum(probabilities)

country_data <- data.frame(COUNTRY = sample(countries, 10000, replace = TRUE, prob = probabilities))

create_studies_map(data        = country_data,
                   country_col = "COUNTRY"
                   )


create_studies_map(data        = country_data,
                   country_col = "COUNTRY",
                   include_ATA = FALSE,
                   include_n   = TRUE,
                   title       = "Number of Participants in Studies across Countries",
                   subtitle    = "Data from studies registered between 2000 - 2024",
                   colour_high = "#14B1E7",
                   colour_low  = "#CCECF9",
                   colour_default = "#FDF3F4",
                   colour_borders = "black",
                   colour_background = "#FFFFFF",
                   colour_text = "black",
                   scale_breaks = c(25, 50, 100, 150, 175, 200),
                   log_scale = FALSE
)